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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Tutorial: TITLE\n",
"\n",
"Audience:\n",
"- Describe who this is for.\n",
"\n",
"Prerequisites:\n",
"- List required concepts or setup.\n",
"\n",
"Learning goals:\n",
"- By the end, the reader can...\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Outline\n",
"\n",
"1. Setup\n",
"2. A minimal working example\n",
"3. Variations and pitfalls\n",
"4. Exercises\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Setup cell: keep it short and deterministic\n",
"from __future__ import annotations\n",
"\n",
"import math\n",
"import random\n",
"\n",
"SEED = 21\n",
"random.seed(SEED)\n",
"SEED\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 1 - Start with a tiny example\n",
"\n",
"Explain what the next cell does in plain language.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Minimal working example\n",
"angles = [0, math.pi / 4, math.pi / 2]\n",
"sines = [math.sin(a) for a in angles]\n",
"list(zip(angles, sines))\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exercises\n",
"\n",
"- Try a different input.\n",
"- Predict the output before running the code.\n",
"- Note one common mistake and how to fix it.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Exercise answer scaffold\n",
"def describe(values: list[float]) -> dict[str, float]:\n",
" return {\"min\": min(values), \"max\": max(values)}\n",
"\n",
"describe(sines)\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"name": "python",
"version": "3.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}